machine learning method where the model makes inferences from unlabeled datasets.It discovers patterns in the data to make predictions on unseen data. Large language model Supervised learning Reinforcement learning Unsupervised learning

Question

machine learning method where the model makes inferences from unlabeled datasets.It discovers patterns in the data to make predictions on unseen data. Large language model Supervised learning Reinforcement learning Unsupervised learning

Answer 1

The correct answer is Unsupervised learning.Unsupervised learning is a type of machine learning where the model makes inferences from unlabeled datasets. It discovers patterns in the data to make predictions on unseen data. Unlike supervised learning, where the model is trained on labeled data, unsupervised learning does not have predefined labels or outcomes. The model must identify patterns and relationships within the data on its own. This method is commonly used for clustering, dimensionality reduction, and association rule mining.

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machine learning method where the model makes inferences from unlabeled datasets.It discovers patterns in the data to make predictions on unseen data. Large language model Supervised learning Reinforcement learning Unsupervised learning

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